An open-access WebApp for inverse Laplace transform analysis of time-domain nuclear magnetic resonance signals. [PDF]
Magn Reson (Gott)Moraes TB +5 more
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Spatial Analysis and Spread Monitoring of a Population of <i>Juniperus macrocarpa</i> Sm. Across Coastal Dune Systems in Northern Tuscany (Italy). [PDF]
Biology (Basel)Bertacchi A +3 more
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EdgeDenseCalib: Targetless Camera-LiDAR Calibration via Enhanced Edge Feature Densification. [PDF]
Sensors (Basel)He Z +6 more
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A Predictive Dual-Stage Neural Framework for Phase-Coherent Auditory Synthesis on Edge Devices. [PDF]
Sensors (Basel)Pairoch S, Phasukkit P, Suteewong T.
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Kramer’s Sampling Theorem With Discontinuous Kernels
Results in Mathematics, 1998 In 1957 Kramer gives an algorithm for reconstructing a function given by an integral transform \(f(t)= \int_a^b F(x)K(x,t)dx\) where \(K(x,t)\) is continuous in \(x\) and entire in \(t\). This reconstruction is performed starting from the values of \(f\) at some points.
Zayed, Ahmed I., GarcÃa, Antonio G.
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Kernel Estimation of the Greeks for Options with Discontinuous Payoffs
Operations Research, 2011 The Greeks are the derivatives (also known as sensitivities) of the option prices with respect to market parameters. They play an important role in financial risk management. Among many Monte Carlo methods of estimating the Greeks, the classical pathwise method requires only the pathwise information that is directly observable from simulation and is ...
Guangwu Liu, L. Jeff Hong
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Kernel Estimation of Densities with Discontinuities or Discontinuous Derivatives
Statistics, 1991In kernel density estimation, one usually assumes the density has two continous derivatives. In this paper we give precise experssions for the asymptotic mean integrated squared error in case the density has m-1 continuous derivatives and two more derivatives with simple discontinuities. We show that the convergence rate for the mean integrated squared
Jeffrey D Hart
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Local linear kernel estimation of the discontinuous regression function
Computational Statistics, 2006 The aim of the paper is to propose a new method for estimating a discontinuous regression function together with its jump points. The authors propose a two-step procedure that first provides estimations of the jump points and finally the method makes use of the estimated jumps to construct an estimator of the discontinuous function.
I. Sánchez-Borrego +2 more
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Sparse Kernel Machines for Discontinuous Registration and Nonstationary Regularization
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 We present a novel approach where we address image registration with the concept of a sparse kernel machine. We formulate the registration problem as a regularized minimization functional where a reproducing kernel Hilbert space is used as transformation model. The regularization comprises a sparsity inducing l1-type norm and a well known l2 norm.
Christoph Jud +2 more
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